Skip to content

Classification analysis for the BCIAUT clinical trial - a P300-based Brain-Computer Interface for training joint-attention in autism spectrum disorder.

Notifications You must be signed in to change notification settings

CIBIT-UC/BCIAUT

Repository files navigation

BCIAUT

Classification analysis for the BCIAUT clinical trial - a P300-based Brain-Computer Interface for training joint-attention in autism spectrum disorder.

Libs

Classification is performed with toolbox PRTools (version 5.3.3) (copy in lib folder). WiSARD implementation from WiSARD_matlab is used (copy in lib folder).

Usage

Setup configs using

configs = getConfigs();

Specify a subject and session

configs.subject = X;
configs.session = Y;

Compute model used in BCIAUT clinical trial

base_models = computeBaseModels(configs);

Compute new models using the same filters

new_models = computeNewModels(configs, base_models);

Credits

November 2017 Creators Marco Simoes (msimoes@dei.uc.pt) and Carlos Amaral.

About

Classification analysis for the BCIAUT clinical trial - a P300-based Brain-Computer Interface for training joint-attention in autism spectrum disorder.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published